The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found language-metric-data.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found language-metric-data.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset contains the computed language latent vectors (binary vectors, Euclidean vectors, and distances) as presented in the paper Deep Language Geometry: Constructing a Metric Space from LLM Weights.
The paper introduces a novel framework that utilizes the internal weight activations of Large Language Models (LLMs) to construct a metric space of languages. This dataset makes the automatically derived high-dimensional vector representations for 106 languages publicly available, capturing intrinsic language characteristics that reflect linguistic phenomena.
Paper: Deep Language Geometry: Constructing a Metric Space from LLM Weights
Code: https://github.com/mshamrai/deep-language-geometry
Gradio Analysis Tool (Hugging Face Space): https://huggingface.co/spaces/mshamrai/language-metric-analysis
Dataset Contents
The dataset includes:
- Calculated binary vectors
- Euclidean vectors
- Distances between languages
These components can be used to analyze and visualize inter-language connections and linguistic families.
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